Shows
Doom DebatesHis P(Doom) Doubles At The End — AI Safety Debate with Liam Robins, GWU SophomoreLiam Robins is a math major at George Washington University who's diving deep into AI policy and rationalist thinking.In Part 1, we explored how AI is transforming college life. Now in Part 2, we ride the Doom Train together to see if we can reconcile our P(Doom) estimates. 🚂Liam starts with a P(Doom) of just 3%, but as we go through the stops on the Doom Train, something interesting happens: he actually updates his beliefs in realtime!We get into heated philosophical territory around moral realism, psychopaths, and whether intelligence naturally yields moral goo...2025-07-151h 05
Doom DebatesEvery Student is CHEATING with AI — College in the AGI Era (feat. Sophomore Liam Robins)Liam Robins is a math major at George Washington University who recently had his own "AGI awakening" after reading Leopold Aschenbrenner's Situational Awareness. I met him at my Manifest 2025 talk about stops on the Doom Train.In this episode, Liam confirms what many of us suspected: pretty much everyone in college is cheating with AI now, and they're completely shameless about it.We dive into what college looks like today: how many students are still "rawdogging" lectures, how professors are coping with widespread cheating, how the social life has changed, and what students think they’ll...2025-07-0738 min
EA Forum Podcast (All audio)[Linkpost] “My P(doom) is 2.76%. Here’s Why.” by Liam RobinsThis is a link post. Disclaimer: all beliefs here are mine alone, and do not necessarily reflect the beliefs of my employer or any organization I work with. Summary: This is my best attempt to explain my beliefs about AI existential risk, leaving none of my assumptions unstated or unchallenged. I’m writing this not because I’m confident that I arrived at the right answer, nor because I think I’ve stumbled on an especially clever insight. I’m writing this because laying out my thought process in full detail can be a helpful tool for thinking...2025-06-1337 min